The
above statistics are proof that data and information is flooding the social arena
like never before. This poses a serious challenge for organizations and their
brands. They are left marooned in this torrential data flood, not knowing how
best to harness the gargantuan volume of data generated around their brand.

But
social data is good. Brands and organizations need it. It is social data that
facilitates social engagement, promotes brand building and assists revenue
increase.

The Challenge

We
all know that the problem lies not in the large volume of social data but the
inability of most brands and organizations to filter the social data for
useful, actionable data. There are three challenges here:

First
– accurately identifying and understanding the social data surrounding our brands
and products.

Second
- Formulating an effective, ground-breaking approach to use the gathered data.

Third
- finding equally reliable and feasible means or products to help you achieve
the above.

Social
media analysis (SMA) tools are one such product that is most appropriate and also
readily available for the organizations. However, in order to effectively deal
with and make the best use of social data, organizations must go beyond
listening and engagement. While there is no denying that listening to our
influencers and engaging with your customers are all pervasive to the success
of our social media strategy, the most important thing that organizations need
to do is to monitor and measure our brand’s social reputation.

Solution

Highly
advanced SMA tools offering sophisticated features (Natural Language Processing
capabilities, Sentiment Analysis, Predictive Analysis etc) are the latest buzz
in town. Organizations that want to make the best use of their social data –
analyze the available data, derive actionable insights and extract business
intelligence out of it – must consider investing in a SMA tool.

How do
SMA tools make this happen? What magic do they weave? Find out in the next
post.